On
Motion Estimation and Compensation Baseline Estimations in Dynamic Imaging: A
Comparative Study with Cine Cardiac and Contrast-Enhanced Lung Imaging

Estimation
of the baseline is essential in compressed-sensing-based acceleration methods
for MRI acquisition, as an accurate baseline estimation helps sparsifying the
residues effectively. Recent literatures suggest improved baseline estimation
using adaptive regularization or motion estimation (ME) and compensation
(MC). While the suitability of these methods on other dynamic images with
fast-varying contrast and morphology such as dynamic contrast-enhanced (DCE)
lung imaging have not been investigated. Therefore, the purpose of this study
is to explore the baseline estimation performance of the block-matching and the
phase-correlation ME/MC on both cine cardiac and DCE lung imaging, in
comparison with the conventional approach.